[[query-dsl-geo-distance-query]] === Geo Distance Query Filters documents that include only hits that exists within a specific distance from a geo point. Assuming the following indexed json: [source,js] -------------------------------------------------- { "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } } -------------------------------------------------- Then the following simple query can be executed with a `geo_distance` filter: [source,js] -------------------------------------------------- { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_distance" : { "distance" : "200km", "pin.location" : { "lat" : 40, "lon" : -70 } } } } } -------------------------------------------------- [float] ==== Accepted Formats In much the same way the `geo_point` type can accept different representation of the geo point, the filter can accept it as well: [float] ===== Lat Lon As Properties [source,js] -------------------------------------------------- { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_distance" : { "distance" : "12km", "pin.location" : { "lat" : 40, "lon" : -70 } } } } } -------------------------------------------------- [float] ===== Lat Lon As Array Format in `[lon, lat]`, note, the order of lon/lat here in order to conform with http://geojson.org/[GeoJSON]. [source,js] -------------------------------------------------- { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_distance" : { "distance" : "12km", "pin.location" : [-70, 40] } } } } -------------------------------------------------- [float] ===== Lat Lon As String Format in `lat,lon`. [source,js] -------------------------------------------------- { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_distance" : { "distance" : "12km", "pin.location" : "40,-70" } } } } -------------------------------------------------- [float] ===== Geohash [source,js] -------------------------------------------------- { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_distance" : { "distance" : "12km", "pin.location" : "drm3btev3e86" } } } } -------------------------------------------------- [float] ==== Options The following are options allowed on the filter: [horizontal] `distance`:: The radius of the circle centred on the specified location. Points which fall into this circle are considered to be matches. The `distance` can be specified in various units. See <>. `distance_type`:: How to compute the distance. Can either be `sloppy_arc` (default), `arc` (slightly more precise but significantly slower) or `plane` (faster, but inaccurate on long distances and close to the poles). `optimize_bbox`:: Whether to use the optimization of first running a bounding box check before the distance check. Defaults to `memory` which will do in memory checks. Can also have values of `indexed` to use indexed value check (make sure the `geo_point` type index lat lon in this case), or `none` which disables bounding box optimization. `_name`:: Optional name field to identify the query `ignore_malformed`:: deprecated[5.0.0,Use `validation_method` instead] Set to `true` to accept geo points with invalid latitude or longitude (default is `false`). `validation_method`:: Set to `IGNORE_MALFORMED` to accept geo points with invalid latitude or longitude, set to `COERCE` to additionally try and infer correct coordinates (default is `STRICT`). [float] ==== geo_point Type The filter *requires* the `geo_point` type to be set on the relevant field. [float] ==== Multi Location Per Document The `geo_distance` filter can work with multiple locations / points per document. Once a single location / point matches the filter, the document will be included in the filter. [float] ==== Ignore Unmapped When set to `true` the `ignore_unmapped` option will ignore an unmapped field and will not match any documents for this query. This can be useful when querying multiple indexes which might have different mappings. When set to `false` (the default value) the query will throw an exception if the field is not mapped.